Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,917)
Clear ✕Joint On-and-Off Policy Learning for Vision-and-Language Navigation
Qingrong He, Lin Zhao, Kevin Zheng +1 more
2026
Distributionally Robust and Safe Imitation Learning
Ahmed Aboudonia, Naira Hovakimyan
2026
Ego-Dynamics-Augmented World Model for Autonomous Driving with Zero-Shot Cross-Chassis Adaptation
Zhidong Wang, Jingsong Liang, Zirui Li +3 more
2026
Where Should RL Post-Training Compute Go? Model Size, Search, Learning, and Feedback
Patrick Wilhelm, Odej Kao
2026
Change-Aware Self-Adaptive AI-Aided Kalman Filters With Neural Change Point Detection
Wenyi Zhang, Xiaoyong Ni, Nir Shlezinger +1 more
2026
Depth-Regularized JEPA World Models Learn More Transferable Representations from Real Outdoor Robot Data
Usman M. Khan
2026
Safe Overtaking for Autonomous Racing Using Hierarchical Optimization and Learning-Based Control
Hassan Jardali, Kai Yin, Lantao Liu
2026
Neural correlates of performance and mental workload dynamics during learning of upper-limb body-powered and myoelectric prostheses.
Gaskins C, Kontson KL, Oh H +3 more
Journal of neural engineering · 2026
Generalist AI Control: Towards Multi-purpose Adaptive Algorithms
Klinsmann Agyei, Pouria Sarhadi
2026
TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
Zhouchonghao Wu, Akshay Rangesh, Weixin Li +4 more
2026
FlowWAM: Optical Flow as a Unified Action Representation for World Action Models
Yixiang Chen, Peiyan Li, Yuan Xu +13 more
2026
ExToken: Structured Exploration for Efficient Vision-Language-Action Reinforcement Fine-tuning
Yilun Kong, Yunpeng Qing, Guozheng Ma +4 more
2026
UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies
Lirui Zhao, Modi Shi, Li Chen +3 more
2026
Directional Constraints for Efficient Exploration in Safe Reinforcement Learning
Paolo Magliano, Puze Liu, Jan Peters +2 more
2026
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Trinh Tran, Binh Nguyen, Truong X. Nghiem
2026
Globalized Constrained Stein Variational Inference for Diverse Feasible Robot Motion Planning
Jiayun Li, Georgia Chalvatzaki
2026
Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference
Zebin Yang, Qi Wang, Yunhe Wang +6 more
2026
Environment Parameter Gradient Theorem for Policy-Environment Co-Design in Reinforcement Learning
Amber Srivastava
2026
TrustVLA: Mechanism-Guided Inference-Time Defense Against Vision-Language-Action Backdoors
Pinhan Fu, Xianda Guo, Xuetao Li +5 more
2026
Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel
Niccolò Caselli, Salvatore Lo Sardo, Francesco Massafra +3 more
2026
Deployable Human Preference Alignment in Robotics: Learning Representative Rewards from Diverse Human Preferences
Taehyung Kim, Gwangmo Lee, Minjun Chang +2 more
2026
Learning-based Homothetic Tube MPC with Non-Asymptotic Guarantees
Changyi Lei, Seth Siriya, Dragan Nešić +1 more
2026
Gradient-Free Topology Adaptation for Power Flow Surrogates via In-Context Whitening
Ayushi Jolotia, Parikshit Pareek
2026
Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling
Yulong Yang, Clara O'Farrell, Christine Allen-Blanchette
2026